𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲 𝗼𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:𝗔 𝗯𝗼𝗼𝗻 𝗼𝗿 𝗮 𝗯𝗮𝗻𝗲?

This special issue in 𝗢𝗽𝗲𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 (𝗜𝗙 𝟮𝟬𝟮𝟮: 𝟭.𝟱) focuses on Generative AI for Computer Vision Applications.

Generative AI has been hailed as one of the significant advancements in the area of Artificial Intelligence and Deep Learning. The application areas of Generative AI are enormous which ranges from data collection to synthetic data generation. Specifically, they are widely used in computer vision applications which deals with images and videos. The generation process of synthetic images is so fascinating that the entertainment industry and the computer vision applications are completely entangled by Generative AI. However, there are serious concerns on the negative aspects of Generative AI too. Cyber security is under serious threat due to this technology. Forgeries and Human impersonation are continuously on the rise which affects the computer-based applications.
Currently, the challenge is to develop novel methods to make sure that Generative AI cannot be used in a negative way. Is it possible? The generative AI mostly revolve around deep neural architectures such as Generative Adversarial Networks (GAN), Diffusion models and Variational Autoencoders. How much can a researcher/scientist/engineer make changes in these architectures? This is a million-dollar question without any concrete answer. This special issue specially focuses on Generative AI applications with images and videos. It also focuses on novel developments/innovative ideas to increase the practical feasibility of the Generative AI.
Potential topics include but are not limited to the following:
• Novel Architectures of Generative AI for Computer Vision Applications
• Generative Adversarial Networks for image synthesis
• Diffusion models for computer vision applications
• Gaussian Mixture Models for object detection applications
• Variational Auto-Encoders (VAE) for sensitive analysis in synthetic images
• Deep convolutional architectures for synthetic data generation and detection
• GAN based audio synthesis from text data
• Transformers and Pre-trained models for Generative AI applications
• Novel loss functions for Generative AI architectures
• Vision Transformers for Generative AI


Authors are requested to submit their full revised papers complying with the general scope of the journal. The submitted papers will undergo the standard peer-review process before they can be accepted. Notification of acceptance will be communicated as we progress with the review process.

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𝑮𝑼𝑬𝑺𝑻 𝑬𝑫𝑰𝑻𝑶𝑹𝑺

Jude Hemanth, Karunya Institute of Technology and Sciences, India
Anastasia Angelopoulou, University of Westminster, United Kingdom
Daniela Danciulescu, University of Craiova, Romania

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𝑫𝑬𝑨𝑫𝑳𝑰𝑵𝑬

The deadline for submissions is 𝗗𝗘𝗖𝗘𝗠𝗕𝗘𝗥 𝟯𝟬, 𝟮𝟬𝟮𝟯, but individual papers will be reviewed and published online on an ongoing basis.

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𝑯𝑶𝑾 𝑻𝑶 𝑺𝑼𝑩𝑴𝑰𝑻

All submissions to the Special Issue must be made electronically via the online submission system Editorial Manager:

𝗵𝘁𝘁𝗽𝘀://𝘄𝘄𝘄.𝗲𝗱𝗶𝘁𝗼𝗿𝗶𝗮𝗹𝗺𝗮𝗻𝗮𝗴𝗲𝗿.𝗰𝗼𝗺/𝗼𝗽𝗲𝗻𝗰𝘀/𝗱𝗲𝗳𝗮𝘂𝗹𝘁𝟮.𝗮𝘀𝗽𝘅

Please choose the article type “𝙎𝙄: 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 𝙛𝙤𝙧 𝘾𝙤𝙢𝙥𝙪𝙩𝙚𝙧 𝙑𝙞𝙨𝙞𝙤𝙣 𝘼𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨”.

Authors contributing to this Special issue will receive a -60% discount on Article Processing Charges. A few best articles will be published for free.

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𝑪𝑶𝑵𝑻𝑨𝑪𝑻

𝗼𝗽𝗲𝗻𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿𝘀𝗰𝗶𝗲𝗻𝗰𝗲@𝗱𝗲𝗴𝗿𝘂𝘆𝘁𝗲𝗿.𝗰𝗼𝗺

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𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻, 𝗽𝗹𝗲𝗮𝘀𝗲 𝘃𝗶𝘀𝗶𝘁 𝗼𝘂𝗿 𝘄𝗲𝗯𝘀𝗶𝘁𝗲.

https://www.degruyter.com/journal/key/comp/html#overview